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( Courses in English )--eng.-EITI (course group defined by The Faculty of Electronics and Information Technology)

Faculty: The Faculty of Electronics and Information Technology Courses displayed below are part of group defined by this faculty, but this faculty is not necessarily the one that organizes these courses. Read Help for more information on this subject.
Course group: ( Courses in English )--eng.-EITI
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2012Z - Winter Semester 2012/2013
2013L - Summer Semester 2012/2013
2013Z - Winter Semester 2013/2014
2014L - Summer Semester 2013/2014
2014Z - Winter Semester 2014/2015
2015L - Summer Semester 2014/2015
2015Z - Winter Semester 2015/2016
2016L - Summer Semester 2015/2016
2016Z - Winter Semester 2016/2017
2017L - Summer Semester 2016/2017
2017Z - Winter Semester 2017/2018
2018L - Summer Semester 2017/2018
2018Z - Winter Semester 2018/2019
2019L - Summer Semester 2018/2019
2019Z - Winter Semester 2019/2020
2020L - Summer Semester 2019/2020
2020Z - Winter Semester 2020/2021
2021L - Summer Semester 2020/2021
2021Z - Winter Semester 2021/2022
2022L - Summer Semester 2021/2022
2022Z - Winter Semester 2022/2023
2023L - Summer Semester 2022/2023
2023Z - Winter Semester 2023/2024
2024L - Summer Semester 2023/2024
(there could be semester, trimester or one-year classes) 		Actions
2012Z 2013L 2013Z 2014L 2014Z 2015L 2015Z 2016L 2016Z 2017L 2017Z 2018L 2018Z 2019L 2019Z 2020L 2020Z 2021L 2021Z 2022L 2022Z 2023L 2023Z 2024L
103A-xxxxx-ISA-EACAW 3
n/a
Classes
Winter Semester 2012/2013
  • tutorials - 30 hours
Summer Semester 2012/2013
  • tutorials - 30 hours
Winter Semester 2013/2014
  • tutorials - 30 hours
Summer Semester 2013/2014
  • tutorials - 30 hours
Winter Semester 2014/2015
  • tutorials - 30 hours
Summer Semester 2014/2015
  • tutorials - 30 hours
Winter Semester 2015/2016
  • tutorials - 30 hours
Summer Semester 2015/2016
  • tutorials - 30 hours
Winter Semester 2016/2017
  • tutorials - 30 hours
Summer Semester 2016/2017
  • tutorials - 30 hours
Winter Semester 2017/2018
  • tutorials - 30 hours
Summer Semester 2017/2018
  • tutorials - 30 hours
Winter Semester 2018/2019
  • tutorials - 30 hours
Summer Semester 2018/2019
  • tutorials - 30 hours
Winter Semester 2019/2020
  • tutorials - 30 hours
Summer Semester 2019/2020
  • tutorials - 30 hours
Winter Semester 2020/2021
  • tutorials - 30 hours
Summer Semester 2020/2021
  • tutorials - 30 hours
Winter Semester 2021/2022
  • tutorials - 30 hours
Summer Semester 2021/2022
  • tutorials - 30 hours
Winter Semester 2022/2023
  • tutorials - 30 hours
Summer Semester 2022/2023
  • tutorials - 30 hours
Winter Semester 2023/2024
  • tutorials - 30 hours
Groups

Brief description

Academic Writing skills, not covered in ELAN 1 and ELAN 2, make an integral part of the C1 Academic Exam. Therefore, students are strongly recommended to attend the EACAW Class, which covers various types of written tasks, necessary for their university career (e.g. report, transactional letters, CV and covering letter, process description).

 		Course page
103A-TCTCM-ISA-EBACK n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 6
n/a
Classes
Winter Semester 2015/2016
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2016/2017
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2017/2018
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2018/2019
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2019/2020
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2020/2021
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2021/2022
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2022/2023
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2023/2024
  • tutorials - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Groups

Brief description

This course provides an understanding of the synchronous transmission systems and networks and its applications.

 		Course page
103A-TCTCM-MSA-EADIR n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Winter Semester 2012/2013
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2012/2013
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2014/2015
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2015/2016
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2016/2017
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2017/2018
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2018/2019
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2019/2020
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2020/2021
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2021/2022
  • project - 30 hours
  • lectures - 30 hours
Summer Semester 2022/2023
  • project - 30 hours
  • lectures - 30 hours
Groups

Brief description

The course refers to programming of image recognition modules with special attention to deep neural networks and methods of computer vision which still exhibit an advantage. The lecture includes tensor transformations, basic neural network architectures, methods of optimization, probabilistic models in classification, problems of image object and its detection, localization, recognition, and indexing (including facial landmarks detection, head orientation, body pose and face expression),and also image filtering methods (including change of image resolution, image rectification, and speech enhancement via spectrogram domain). Project classes beside describing of two projects, introduce relevant software. Students improve their skills on Python programming using neural networks Python platforms while working within the Google Colab environment. Two assignments improve understanding of software tools to be used in projects. Two tests cover the material of lectures.

 		Course page
103A-TCTCM-MSA-EASP n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 6
n/a
Classes
Summer Semester 2012/2013
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2014/2015
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2015/2016
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2016/2017
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2017/2018
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2018/2019
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Summer Semester 2018/2019
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2019/2020
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2020/2021
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2021/2022
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2022/2023
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Winter Semester 2023/2024
  • laboratory - 15 hours
  • project - 15 hours
  • lectures - 30 hours
Groups

Brief description

The aim of the course is to familiarize students with the issues of adaptive signal processing in the context of their practical applications. After completing the information on the optimal processing of random signals, the main classes of adaptive algorithms are discussed along with examples of their applications, among others in telecommunications, radars, medical electronics, acoustics. The summary of the course is the transition from classic adaptive systems to artificial neural networks. During laboratory and project classes, students implement adaptive algorithms, study their properties, and adaptively process signals found in selected applications.

 		Course page
103A-CSCSN-ISA-EADS n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Summer Semester 2012/2013
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2013/2014
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2013/2014
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2014/2015
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2014/2015
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2015/2016
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Groups

Brief description

The lecture presents fundamental material to the understanding of data structures. The object-oriented paradigm is used to demonstrate abstract data types. The main focus is put on algorithms handling operations of data structures.

 		Course page
103B-CTxxx-ISA-EADS n/a n/a n/a n/a n/a n/a n/a 6
n/a
Classes
Summer Semester 2015/2016
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2016/2017
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2016/2017
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2017/2018
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2017/2018
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2018/2019
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2018/2019
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2019/2020
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2019/2020
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2020/2021
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2020/2021
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2021/2022
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2021/2022
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2022/2023
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2022/2023
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2023/2024
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Groups

Brief description

The lecture presents fundamental material to the understanding of data structures. The object-oriented paradigm is used to demonstrate abstract data types. The main focus is put on algorithms handling operations of data structures.

 		Course page
103A-CTxxx-ISA-EANA2 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Winter Semester 2012/2013
  • tutorials - 30 hours
  • lectures - 30 hours
Groups

Brief description

The course covers the following areas: indefinite and definite integrals with applications; differential calculus of scalar functions of several independent variables; multiple integrals with applications; line and surface integrals.

Course page
103A-TCTCM-ISA-EANTE n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 6
n/a
Classes
Winter Semester 2020/2021
  • tutorials - 12 hours
  • laboratory - 12 hours
  • lectures - 30 hours
Winter Semester 2021/2022
  • tutorials - 12 hours
  • laboratory - 12 hours
  • lectures - 30 hours
Winter Semester 2022/2023
  • tutorials - 12 hours
  • laboratory - 12 hours
  • lectures - 30 hours
Winter Semester 2023/2024
  • tutorials - 12 hours
  • laboratory - 12 hours
  • lectures - 30 hours
Groups

Brief description

The aim of the course is to familiarize students with the various types of antennas and their characteristics. Particular emphasis is placed on discussing new types of antennas.

 		Course page
103A-xxxxx-MSA-EATEC n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Summer Semester 2023/2024
  • tutorials - 30 hours
Groups

Brief description

Argument technology is a sub-field of Artificial Intelligence in which computational methods of creating, identifying, analysing, evaluating and visualising arguments and debates are employed. In the last couple of years, the growing interest in argument technologies may be observed, concurrently with the launch of the IBM’s Grand Challenge, Project Debater, the AI system that can debate humans in real time on a variety of complex topics. Contemporary advances in argument and debating technologies cover a wide range of research strands including the building of argument corpora and argument analytics for argument mining (the automated extraction of arguments from natural language data) and explainable AI.

 		Course page
1130-EMARO-MSA-2005 n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Summer Semester 2012/2013
  • integrated classes - 30 hours
Summer Semester 2013/2014
  • integrated classes - 30 hours
Summer Semester 2014/2015
  • integrated classes - 30 hours
Summer Semester 2015/2016
  • integrated classes - 30 hours
Summer Semester 2016/2017
  • integrated classes - 30 hours
Summer Semester 2017/2018
  • integrated classes - 30 hours
Summer Semester 2018/2019
  • tutorials - 15 hours
  • lectures - 15 hours
Summer Semester 2019/2020
  • tutorials - 15 hours
  • lectures - 15 hours
Summer Semester 2020/2021
  • tutorials - 15 hours
  • lectures - 15 hours
Summer Semester 2021/2022
  • tutorials - 15 hours
  • lectures - 15 hours
Summer Semester 2022/2023
  • tutorials - 15 hours
  • lectures - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
103A-INISY-MSP-EASAR n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a 4
n/a
Classes
Winter Semester 2020/2021
  • tutorials - 12 hours
  • laboratory - 15 hours
  • lectures - 18 hours
Winter Semester 2022/2023
  • tutorials - 12 hours
  • laboratory - 15 hours
  • lectures - 18 hours
Winter Semester 2023/2024
  • tutorials - 12 hours
  • laboratory - 15 hours
  • lectures - 18 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
103A-TLRTM-MSA-EAUD n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Winter Semester 2013/2014
  • lectures - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
103A-ELxxx-DSA-EARAD n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Winter Semester 2012/2013
  • lectures - 15 hours
Groups

Brief description

(in Polish) Lecture will be an introduction to automotive radar technology, starting from basic ideas and fundamentals - sounding waveform design, radar signal processing, detection, simultaneous tracking of multiple objects, pedestrian detection, pedestrian identification. Subsequently, the course will bring students the challenges and issues in implementation for real-life applications.

 		Course page
103A-xxxxx-ISA-EBDE 0
n/a
Classes
Winter Semester 2012/2013
  • project - 30 hours
Summer Semester 2012/2013
  • project - 30 hours
Winter Semester 2013/2014
  • project - 30 hours
Summer Semester 2013/2014
  • project - 30 hours
Winter Semester 2014/2015
  • project - 30 hours
Summer Semester 2014/2015
  • project - 30 hours
Winter Semester 2015/2016
  • project - 30 hours
Summer Semester 2015/2016
  • project - 30 hours
Winter Semester 2016/2017
  • project - 30 hours
Summer Semester 2016/2017
  • project - 30 hours
Winter Semester 2017/2018
  • project - 30 hours
Summer Semester 2017/2018
  • project - 30 hours
Winter Semester 2018/2019
  • project - 30 hours
Summer Semester 2018/2019
  • project - 30 hours
Winter Semester 2019/2020
  • project - 30 hours
Summer Semester 2019/2020
  • project - 30 hours
Winter Semester 2020/2021
  • project - 30 hours
Summer Semester 2020/2021
  • project - 30 hours
Winter Semester 2021/2022
  • project - 30 hours
Summer Semester 2021/2022
  • project - 30 hours
Winter Semester 2022/2023
  • project - 30 hours
Summer Semester 2022/2023
  • project - 30 hours
Winter Semester 2023/2024
  • project - 30 hours
Groups

Brief description

A student is expected to submit a copy of the B.Sc. diploma dissertation along with a positive assessment of it from his/her supervisor.

 		Course page
103A-xxxxx-ISA-EBULA n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Summer Semester 2017/2018
  • tutorials - 30 hours
Summer Semester 2018/2019
  • tutorials - 30 hours
Summer Semester 2019/2020
  • tutorials - 30 hours
Summer Semester 2020/2021
  • tutorials - 30 hours
Summer Semester 2021/2022
  • tutorials - 30 hours
Summer Semester 2022/2023
  • tutorials - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
103A-CTxxx-ISA-ECIRC n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a
Classes
Winter Semester 2012/2013
  • tutorials - 30 hours
  • lectures - 30 hours
Summer Semester 2012/2013
  • tutorials - 30 hours
  • lectures - 30 hours
Groups

Brief description
No brief description found, go to course home page to get more information.
Course page
103A-CTxxx-ISA-ECIRS n/a n/a 6
n/a
Classes
Winter Semester 2013/2014
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2013/2014
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2014/2015
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2014/2015
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2015/2016
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2015/2016
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2016/2017
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2016/2017
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2017/2018
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2017/2018
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2018/2019
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2018/2019
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2019/2020
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2019/2020
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2020/2021
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2020/2021
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2021/2022
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2021/2022
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2022/2023
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Summer Semester 2022/2023
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Winter Semester 2023/2024
  • tutorials - 15 hours
  • laboratory - 15 hours
  • lectures - 30 hours
Groups

Brief description

The course introduces the basic concepts of the time and frequency analysis of electrical circuits, including constitutive circuit elements, time and frequency linear circuit equations, transient and steady state analysis, transfer function, transmission of signals. It also introduces fundamentals of analog signals representation and analysis. Understanding how these concepts are related, and how circuits respond to signals of different frequencies is the basis for understanding modern communication and signal processing, and analog electronics as well.
The lectures provide the students with the explanation of the core material. Examples explaining the concepts and techniques are discussed in order to provide a qualitative understanding. The tutorials have more quantitative approach and enable students to apply the material introduced during the lectures to solve some problems. The laboratory provides the students with hands-on experience.

 		Course page
103A-TCTCM-ISA-ECOPR n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a n/a